Out-of-sample network embedding method

This function takes in out-of-sample points (which were not available at training time) and embeds them in a previously trained network embedding space.

Usage

oos_network_embedding(embedding_fit, A, A_full)

Arguments

embedding_fit

Previously trained network embedding; should be output of fit_network_embedding().

A

Adjacency matrix corresponding to the training data points.

A_full

Adjacency matrix representing the full set of nodes (training + testing nodes in that order).

Value

A list of two:

• X: A list of matrices, each corresponding to a method in embedding_fit$method, where each matrix has ndim columns representing the embedding for the out-of-sample points.

• method: The method(s) used for embedding.

Examples

data(example_data)
embedding_fit <- fit_network_embedding(
  example_data$A, ndim = 2, method = "laplacian"
)
oos_embedding <- oos_network_embedding(
  embedding_fit, A = example_data$A, A_full = example_data$A_full
)